The roles of patient-derived xenograft models and artificial intelligence toward precision medicine.
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| Title: | The roles of patient-derived xenograft models and artificial intelligence toward precision medicine. |
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| Authors: | Janitri V; Department of Biomedical Engineering Rochester Institute of Technology Rochester New York USA., ArulJothi KN; Department of Genetic Engineering, College of Engineering and Technology SRM Institute of Science and Technology Chengalpattu Tamil Nadu India., Ravi Mythili VM; Department of Genetic Engineering, College of Engineering and Technology SRM Institute of Science and Technology Chengalpattu Tamil Nadu India., Singh SK; School of Pharmaceutical Sciences Lovely Professional University Phagwara Punjab India., Prasher P; Department of Chemistry University of Petroleum & Energy Studies, Energy Acres Dehradun India., Gupta G; Centre for Research Impact & Outcome, Chitkara College of Pharmacy Chitkara University Rajpura Punjab India., Dua K; Faculty of Health, Australian Research Center in Complementary and Integrative, Medicine University of Technology Sydney Ultimo NSW Australia.; Discipline of Pharmacy, Graduate School of Health University of Technology Sydney Ultimo NSW Australia., Hanumanthappa R; JSS Banashankari Arts, Commerce, and SK Gubbi Science College Karnatak University Dharwad Karnataka India., Karthikeyan K; Centre of Excellence in PCB Design and Analysis, Department of Electronics and Communication Engineering M. Kumarasamy College of Engineering Karur Tamil Nadu India., Anand K; Department of Chemical Pathology, School of Pathology, Office of the Dean, Faculty of Health Sciences University of the Free State Bloemfontein South Africa. |
| Source: | MedComm [MedComm (2020)] 2024 Sep 25; Vol. 5 (10), pp. e745. Date of Electronic Publication: 2024 Sep 25 (Print Publication: 2024). |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: John Wiley & Sons, Inc Country of Publication: China NLM ID: 101769925 Publication Model: eCollection Cited Medium: Internet ISSN: 2688-2663 (Electronic) Linking ISSN: 26882663 NLM ISO Abbreviation: MedComm (2020) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2688-2663 |
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| DOI: | 10.1002/mco2.745 |
